Want to get hired at Confidential?

Data Analyst

Confidential

HybridHybrid

Original Job Summary

About Confidential Data Analyst Role

The Data Analyst will collect, interpret, and transform data into actionable insights for a fast-growing software company headquartered in Riyadh. This full-time remote position involves close collaboration with product, engineering, and business teams to optimize performance and support strategic decision-making.

Key Responsibilities

  • Collect, clean, and analyze large datasets to maintain accuracy.
  • Build and maintain dashboards, reports, and visualizations for KPIs.
  • Provide data-driven insights to support product and strategy.
  • Work with stakeholders to define data requirements and deliver solutions.
  • Identify trends, patterns, and anomalies to drive improvements.
  • Collaborate with engineering to enhance data pipelines.
  • Document methodologies and share findings internally.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
  • 3+ years of experience as a Data Analyst, preferably in tech or software.
  • Strong proficiency in SQL and experience with data visualization tools like Tableau, Power BI, or Looker.
  • Familiarity with Python, R, or similar data analysis languages is a plus.
  • Excellent analytical, problem-solving, and communication skills.
  • Fluency in English; Arabic is an advantage.

What’s Offered

  • Competitive compensation package.
  • Opportunity to work with an innovative software company leveraging data for growth.
  • Exposure to cross-functional projects.
  • Career growth potential in a data-driven, collaborative environment.

Key Skills/Competency

  • Data Analysis
  • SQL
  • Data Visualization
  • Tableau
  • Power BI
  • Python
  • Data Cleaning
  • Dashboarding
  • Analytical Thinking
  • Collaboration

How to Get Hired at Confidential

🎯 Tips for Getting Hired

  • Research Confidential's culture: Study their mission, values, and employee reviews.
  • Customize your resume: Highlight relevant data analysis and SQL skills.
  • Showcase portfolio: Present dashboards, reports, and projects.
  • Prepare for technical questions: Review SQL and data visualization scenarios.

📝 Interview Preparation Advice

Technical Preparation

Practice complex SQL queries.
Build sample dashboards with Tableau.
Analyze large datasets using Python.
Review data pipeline concepts.

Behavioral Questions

Describe a challenging data project.
Explain cross-team collaboration experience.
Discuss handling tight deadlines.
Share problem-solving examples.